CODONS: a microcomputer program for codon usage analysis.
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Codon↗
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The mechanism of codon-anticodon interaction in ribosomes. Quantitative study of codon-dependent binding of tRNA to the 30-S ribosomal subunits of Escherichia coli.
The formation of a ternary complex 30-S-subunit . poly(U) . tRNAPhe is discussed and the conditions for its correct description by Langmuir's isotherm are deduced. The affinity constant of the binary complex 30-S-subunit . poly(U) is measured. The reversibility of binding of tRNAPhe to the complex 30-S-subunit . poly(U) is proved in a direct way. The main reason for the heterogeneity of ternary complexes was found to be due to the ability of high-molecular-weight poly(U) to form complicated aggregates with 30-S subunits. If a fraction of poly(U) of moderate molecular weight (30 000) is used, then the ternary complexes are homogeneous in stability and yield the same affinity constants for deacylated, aminoacylated and peptidyl-tRNAPhe (1 X 10(8) M-1 at 20 mM Mg2+, 200 mM NH+4 and 0 degrees C). Ribosomal protein S1 increases the binding constant of poly(U) with 30-S subunits but does not change the binding constant of tRNAPhe with the 30-S-subunit . poly(U) complex. All 30-S subunits, even partially stripped of S1 protein, are active in the binding of both poly(U) and tRNAPhe.
Anticodon↗
Silent mutation at codon 15 interferes with the detection of a mutated N-ras codon 12 allele by oligonucleotide hybridization.
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Codon↗
Rates of aminoacyl-tRNA selection at 29 sense codons in vivo.
We have placed aminoacyl-tRNA selection at individual codons in competition with a frameshift that is assumed to have a uniform rate. By assaying a reporter in the shifted frame, relative rates for association of the 29 YNN codons and their cognate aminoacyl-tRNAs were obtained during logarithmic growth in Escherichia coli. For five codons, three beginning with C and two with U, these relative rates agree with relative in vitro rates for elongation factor Tu-mediated aminoacyl-tRNA binding to ribosomes and subsequent GTP hydrolysis. Therefore, the frameshift assay probably measures this process in vivo. Observed rates for aminoacyl-tRNA selection span a 25-fold range. Therefore, the time required to transit different codons in vivo probably differs substantially. Codons very frequently used in highly expressed genes generally select aminoacyl-tRNAs more quickly than do rarely used codons. This suggests that speed of aminoacyl-tRNA selection is a significant factor determining biased use of synonymous codons. However, the preferential use of codons appears to be marked only for codons with the highest rates of aminoacyl-tRNA selection. Rapid selection in vivo is usually effected by elevation of the tRNA concentration for codons with moderate intrinsic speed (rate constant), not by choosing intrinsically fast codons. Despite a preference for high rate, there are quickly translated codons that are not commonly used, and common codons that are translated relatively slowly. Other factors are therefore more important than speed for some codons. Strong preference for rapid aminoacyl-tRNA selection is not observed in weakly expressed genes. Instead, there is a slight preference for slower aminoacyl-tRNA selection. The rate of aminoacyl-tRNA selection by a YNC codon is always greater than the rate of the corresponding YNU codon even though in many YNC/U pairs both codons react with the same elongation factor Tu/GTP/aminoacyl-tRNA complex. Thus, for these tRNAs, the differences between in vivo rate constants of tRNAs are dependent on the nature of anticodon base-pairing. However, no more general relationship is evident between codon/anticodon composition and rate of aminoacyl-tRNA selection. The frameshift method can be extended to all codons.
Base Sequence↗
Low-usage codons in Escherichia coli, yeast, fruit fly and primates.
Codon usage is compared between four classes of species, with an emphasis on characterization of low-usage codons. The classes of species analyzed include the bacterium Escherichia coli (ECO), the yeast Saccharomyces cerevisiae (YSC), the fruit fly Drosophila melanogaster (DRO), and several species of primates (PRI) (taken as a group; includes eleven species for which nucleotide sequence data have been reported to GenBank, however, greater than 90% of the sequences were from Homo sapiens). The number of protein-coding sequences analyzed were 968 for ECO, 484 for YSC, 244 for DRO, and 1518 for PRI. Three methods have been used to determine low-usage codons in these species. The first and most common way of assessing codon usage is by summing the number of time codons appear in reading frames of the genome in question. The second way is to examine the distribution of usage in different genes by scoring the number of protein reading frames in which a particular codon does not appear. The third way starts with a similar notion, but instead considers combinations of codons that are missing from the maximum number of genes. These three methods give very similar results. Each species has a unique combination of eight least-used codons, but all species contain the arginine codons, CGA and CGG. The agreement between YSC and PRI is particularly striking as they share six low-usage codons. All six carry the dinucleotide sequence, CG. The eight least-used codons in PRI include all codons that contain the CG dinucleotide sequence. Low-usage codons are clearly avoided in genes encoding abundant proteins for ECO, YSC DRO. In all species, proteins containing a high percentage of low-usage codons could be characterized as cases where an excess of the protein could be detrimental. Low codon usage is relatively insensitive to gross base composition. However, dinucleotide usage can sometimes influence codon usage. This is particularly notable in the case of CG dinucleotides in PRI.
Animals↗
Codon contexts in enterobacterial and coliphage genes.
This investigation of the codon context of enterobacteria, plasmid, and phage protein genes was based on a search for correlations between the presence of one base type at codon position III and the presence of another base type at some other position in adjacent codons. Enterobacterial genes were compared with eukaryotic sequences for codon context effects. In enterobacterial genes, base usage at codon position III is correlated with the third position of the upstream adjacent codon and with all three positions of the downstream codon. Plasmid genes are free of context biases. Phage genes are heterogeneous: MS2 codons have no biased context, whereas lambda genes partly follow the trends of the host bacterium, and T7 genes have biased codon contexts that differ from those of the host. It has been reported that two successive third-codon positions tend to be occupied by two purines or two pyrimidines in Escherichia coli genes of low expression level. Here, the extent to which highly expressed protein genes can modulate base usage at two successive codon positions III, given the constraints on codon usage and protein sequence that act on them, was quantified. This demonstrates that the above-mentioned favored patterns are not a characteristic of weakly expressed genes but occur in all genes in which codon context can vary appreciably. The correlation between successive third-codon positions is a distinct feature of enterobacteria and of some phages, one that may result from adaptation of gene structure to translational efficiency. Conversely, codon context in yeast and human genes is biased--but for reasons unrelated to translation.
Animals↗
CUG as a mutant start codon for cat-86 and xylE in Bacillus subtilis.
The cat-86 gene specifies chloramphenicol acetyltransferase (CAT). The cat-86 start codon is UUG, although related genes have AUG as the start codon. Changing the start codon to AUG increased expression of cat-86 by 36% in Bacillus subtilis. Changing the start codon to GUG and CUG decreased expression to 65% and 30%, respectively, of the level obtained when AUG was the start codon. CUG has not been previously shown to function as a start codon in B. subtilis. N-terminal sequencing of purified CAT protein specified by the CUG mutant, revealed that CUG was indeed the start codon and specified methionine. The gene xylE, which specifies catechol 2,3-dioxygenase, has AUG as its start codon. Changing the start codon for xylE to CUG decreased expression by 98%. However, when the ribosome-binding site sequence for xylE was optimized and the spacing between it and the start codon was increased to 8 nucleotides, xylE activity increased to 13% of the activity observed for AUG. CUG did not function efficiently as a start codon for cat-86 in Escherichia coli. These data suggest conditions under which CUG can function, with modest efficiency, as a start codon in B. subtilis.
Bacillus subtilis↗
Replacement of the Escherichia coli trp operon attenuation control codons alters operon expression.
To test features of the current model of transcription attenuation in amino acid biosynthetic operons, alterations were introduced into the trp operon leader region and expression of the mutated operons was examined in miaA and miaA+ Escherichia coli strains that lacked the trp repressor. The miaA mutation prevents modification of the adenosine residue immediately 3' of the anticodon of tRNAs that interact with codons beginning with uridine. The undermodified tRNA(Trp) in miaA strains is thought to increase readthrough at the trp attenuator by slowing ribosome movement over two tandem Trp codons in the 14-codon leader peptide coding region. The rate of translation of these two "control codons" is thought to be the key step in determining the extent of transcription attenuation in the trp leader region. Sequential deletion of trpL DNA specifying the leader peptide initiation region, RNA segment 1, RNA segment 2 and RNA segment 3 alternately decreased and increased trp operon expression, a result consistent with previous findings in another bacterium and the generally accepted model for transcription attenuation. Replacement of the tandem Trp control codons by AGG-UGC (Arg-Cys) codons eliminated the miaA-dependent increase in transcription readthrough. Replacement of the Trp control codons by AGG-UGA (Arg-stop) codons caused complete readthrough at the trp attenuator as well as abolishing the miaA effect. Presumably, the ribosome terminating translation at the new UGA codon mimics the effect of a stalled ribosome at the Trp control codons. This finding suggests that ribosome dissociation at some stop codons is slow relative to the time required for transcription of the trp leader region. Thus, most ribosomes translating the trp leader peptide coding region may remain attached to the natural UGA stop codon until after the attenuation decision is made. The interpretation supports models for trp operon attenuation in which the elevated basal level readthrough is determined by occasional ribosome release prior to synthesis of the 3:4 terminator hairpin.
Amino Acid Sequence↗
CGG: an unassigned or nonsense codon in Mycoplasma capricolum.
CGG is an arginine codon in the universal genetic code. We previously reported that in Mycoplasma capricolum, a relative of Gram-positive eubacteria, codon CGG did not appear in coding frames, including termination sites, and tRNA(ArgCCG) pairing with codon CGG, was not detected. These facts suggest that CGG is a nonsense (unassigned and untranslatable) codon--i.e., not assigned to arginine or to any other amino acid. We have investigated whether CGG is really an unassigned codon by using a cell-free translation system prepared from M. capricolum. Translation of synthetic mRNA containing in-frame CGG codons does not result in "read-through" to codons beyond the CGG codons--i.e., translation ceases just before CGG. Sucrose-gradient centrifugation profiles of the reaction mixture have shown that the bulk of peptide that has been synthesized is attached to 70S ribosomes and is released upon further incubation with puromycin. The result suggests that the peptide is in the P site of ribosome in the form of peptidyl-tRNA, leaving the A site empty. When in-frame CGG codons are replaced by UAA codons in mRNA, no read-through occurs beyond UAA, just as in the case of CGG. However, the synthesized peptide is released from 70S ribosomes, presumably by release factor 1. These data suggest strongly that CGG is an unassigned codon and differs from UAA in that CGG is not used for termination.
Amino Acid Sequence↗
Role of codon choice in the leader region of the ilvGMEDA operon of Serratia marcescens.
Leucine participates in multivalent repression of the Serratia marcescens ilvGMEDA operon by attenuation (J.-H. Hsu, E. Harms, and H.E. Umbarger, J. Bacteriol. 164:217-222, 1985), although there is only one single leucine codon that could be involved in this type of control. This leucine codon is the rarely used CUA. The contribution of this leucine codon to the control of transcription by attenuation was examined by replacing it with the commonly used leucine codon CUG and with a nonregulatory proline codon, CCG. These changes left intact the proposed secondary structure of the leader. The effects of the codon changes were assessed by placing the mutant leader regions upstream of the ilvGME structural genes or the cat gene and measuring acetohydroxy acid synthase II, transaminase B, or chloramphenicol acetyltransferase activities in cells grown under limiting and repressing conditions. The presence of the common leucine codon in place of the rare leucine codon reduced derepression by about 70%. Eliminating the leucine codon by converting it to proline abolished leucine control. Furthermore, a possible context effect of the adjacent upstream serine codon on leucine control was examined by changing it into a glycine codon.
Base Sequence↗
Context effects and inefficient initiation at non-AUG codons in eucaryotic cell-free translation systems.
The context requirements for recognition of an initiator codon were evaluated in vitro by monitoring the relative use of two AUG codons that were strategically positioned to produce long (pre-chloramphenicol acetyl transferase [CAT]) and short versions of CAT protein. The yield of pre-CAT initiated from the 5'-proximal AUG codon increased, and synthesis of CAT from the second AUG codon decreased, as sequences flanking the first AUG codon increasingly resembled the eucaryotic consensus sequence. Thus, under prescribed conditions, the fidelity of initiation in extracts from animal as well as plant cells closely mimics what has been observed in vivo. Unexpectedly, recognition of an AUG codon in a suboptimal context was higher when the adjacent downstream sequence was capable of assuming a hairpin structure than when the downstream region was unstructured. This finding adds a new, positive dimension to regulation by mRNA secondary structure, which has been recognized previously as a negative regulator of initiation. Translation of pre-CAT from an AUG codon in a weak context was not preferentially inhibited under conditions of mRNA competition. That result is consistent with the scanning model, which predicts that recognition of the AUG codon is a late event that occurs after the competition-sensitive binding of a 40S ribosome-factor complex to the 5' end of mRNA. Initiation at non-AUG codons was evaluated in vitro and in vivo by introducing appropriate mutations in the CAT and preproinsulin genes. GUG was the most efficient of the six alternative initiator codons tested, but GUG in the optimal context for initiation functioned only 3 to 5% as efficiently as AUG. Initiation at non-AUG codons was artifactually enhanced in vitro at supraoptimal concentrations of magnesium.
Animals↗
Evolution of the mitochondrial genetic code. I. Origin of AGR serine and stop codons in metazoan mitochondria.
AGA and AGG (AGR) are arginine codons in the universal genetic code. These codons are read as serine or are used as stop codons in metazoan mitochondria. The arginine residues coded by AGR in yeast or Trypanosoma are coded by arginine CGN throughout metazoan mitochondria. AGR serine sites in metazoan mitochondria are occupied mainly in corresponding sites in yeast or Trypanosoma mitochondria by UCN serine, AGY serine, or codons for amino acids other than serine or arginine. Based on these observations, we propose the following evolutionary events. AGR codons became unassigned because of deletion of tRNA Arg (UCU) and elimination of AGR codons by conversion to CGN arginine codons. Upon acquisition by serine tRNA of pairing ability with AGR codons, some codons for amino acids other than arginine mutated to AGR, and were captured by anticodon GCU in serine tRNA. During vertebrate mitochondrial evolution, AGR stop codons presumably were created from UAG stop by deletion of the first nucleotide U and by use of R as the third nucleotide that had existed next to the ancestral UAG stop.
Animals↗
Analysis of the stop codon context in plant nuclear genes.
A region of 18 nucleotides surrounding the stop codon (the stop codon context) in 748 plant nuclear genes was analyzed. Non-randomness was found both upstream and downstream from the stop codon, suggesting that these sequences may help in ensuring efficient termination of translation. The UAG amber codon is the least-used stop codon and the bias in the nucleotide distribution 5' and 3' to the stop codon was more pronounced for the amber codon than for the other stop codons. This might indicate that the codon context affects termination more at UAG than at UGA or UAA stop codons.
Base Composition↗
A study of the purine/pyrimidine codon occurrence with a reduced centered variable and an evaluation compared to the frequency statistic.
With the three-letter alphabet [R,Y,N] (R = purine, Y = pyrimidine, N = R or Y), there are 26 codons (NNN being excluded): RNN,...,NNY (six codons at two unspecified bases N), RRN,...,NYY (12 codons at one unspecified base N), RRR,...,YYY (eight specified codons). A statistical methodology that uses the codon frequency and a reduced centered variable leads to similar results for a codon occurrence study, regardless of gene function and regardless of a particular protein coding gene taxonomic population. Therefore, this variable can be considered a new codon usage index, whose use removes certain nonsignificant results found with the frequency statistic. This methodology identifies the common and rare codons (i.e., the codons having the highest and lowest occurrence) and leads to a model of codon evolution at three successive states: RNN, then RNY, and finally RYY. Some biological relations between this model and the YRY(N)6YRY preferential occurrence are also presented.
Base Sequence↗
Role of GC-biased mutation pressure on synonymous codon choice in Micrococcus luteus, a bacterium with a high genomic GC-content.
The GC (G + C, or G or C)-contents of codon silent positions in all two-codon sets and three codons AUY/A (IIe), and in most of the family boxes of Micrococcus luteus (genomic GC-content: 74%) are 95% to 100% in both the highly and weakly expressed genes. In some family boxes, there is a decrease in NNC codons and an increase in NNG codons from the highly expressed to weakly expressed genes without apparent involvement of NNU and NNA codons. From these observations, we conclude that the selective use of synonymous codons in M. luteus may be largely determined by GC-biased mutation pressure and that in the highly expressed genes tRNAs would act as a weak selection pressure in some family boxes. Available data suggest that the effect of selection pressure by tRNAs on the synonymous codon choice becomes more apparent in the highly expressed genes in eubacteria with intermediate GC-contents such as Escherichia coli and Bacillus subtilis, and that the U/C ratio of the codon third positions in NNU/C-type two-codon sets in the weakly expressed genes would represent the approximate magnitude of directional mutation pressure throughout eubacteria.
Base Sequence↗
Codon usage of human DNA viruses and its similarity to certain host genes.
Codon usages of DNA viruses had previously been shown to associate with their genome size. Codon usage of various human DNA viruses was compared to those of human genes to further understand viral codon usage and its roles in viral-host interaction. Codon usage bias in both large and small genome human DNA viruses was dominantly driven by translation selection. Non-optimal codon usage in small DNA viruses showed similarity to cell cycle-related genes, whereas codon usage of large DNA viruses was more diverse, herpesviruses showed more heterogeneity than human adenoviruses, while poxviruses showed a clear bimodal pattern. Some of the large DNA viruses such as herpes simplex and molluscum contagiosum viruses showed more optimal codon usage. Enrichment analysis identified some groups of human genes with similar codon usage to each group of these viruses. These host genes with similarity in codon usages to those of viruses may be efficiently expressed in infected cells and involved in their life cycle, pathogenesis and/or immune evasion.
Humans↗
Essential factors determining codon usage in ubiquitin genes.
Ubiquitin is ubiquitous in all eukaryotes and its amino acid sequence shows extreme conservation. Ubiquitin genes comprise direct repeats of the ubiquitin coding unit with no spacers. The nucleotide sequences coding for 13 ubiquitin genes from 11 species reported so far have been compiled and analyzed. The G + C content of codon third base reveals a positive linear correlation with the genome G + C content of the corresponding species. The slope strongly suggests that the overall G + C content of codons of polyubiquitin genes clearly reflects the genome G + C content by AT/GC substitutions at the codon third position. The G + C content of ubiquitin codon third base also shows a positive linear correlation with the overall G + C content of coding regions of compiled genes, indicating the codon choices among synonymous codons reflect the average codon usage pattern of corresponding species. On the other hand, the monoubiquitin gene, which is different from the polyubiquitin gene in gene organization, gene expression, and function of the encoding protein, shows a different codon usage pattern compared with that of the polyubiquitin gene. From comparisons of the levels of synonymous substitutions among ubiquitin repeats and the homology of the amino acid sequence of the tail of monomeric ubiquitin genes, we propose that the molecular evolution of ubiquitin genes occurred as follows: Plural primitive ubiquitin sequences were dispersed on genome in ancestral eukaryotes. Some of them situated in a particular environment fused with the tail sequence to produce monomeric ubiquitin genes that were maintained across species. After divergence of species, polyubiquitin genes were formed by duplication of the other primitive ubiquitin sequences on different chromosomes. Differences in the environments in which ubiquitin genes are embedded reflect the differences in codon choice and in gene expression pattern between poly- and monomeric ubiquitin genes.
Amino Acid Sequence↗
Switches in species-specific codon preferences: the influence of mutation biases.
A model of synonymous codon usage is developed in which the most frequent codons are selectively advantageous because of their coadaptation with tRNA abundances. Random drift opposes the progress of this coevolution by pushing codon frequencies in the direction of the frequency that would result from mutation in the absence of selection. It is predicted that, within a certain range, an increased mutation bias away from an advantageous codon has little influence on its usage in highly expressed genes. However, a subsequent small increase in mutation bias over a critical range leads to a large reduction in the frequency of the codon. The switch in preference from one synonym to another is a sharp transition, with no stable intermediate state in which neither codon is advantageous. Codon usage patterns were compared among three related bacterial species of differing genomic G & C contents, Escherichia coli, Serratia marcescens, and Proteus vulgaris. It was found that although changes in mutation biases do not always result in switches in codon preferences, some switches have occurred in the direction of species-specific mutation biases. Fluctuating mutation biases may therefore be the main cause of differences between species in their codon preferences.
Amino Acids↗